Banting, Selangor, 21 April 2026 – An ongoing smart agriculture project is currently being deployed at KMK Agro Global Sdn. Bhd., introducing a rail-mounted camera system powered by computer vision to support rock melon farming in a greenhouse environment.
Funded by the Innovation and Commercialisation Centre (ICC), Universiti Teknologi Malaysia (UTM), the project—known as the GreenPulse IoT-Enhanced Smart Camera System—aims to integrate artificial intelligence and IoT technologies for automated fertigation and early-stage plant disease monitoring.
At its current stage, the installation is partially completed, with key components such as the rail camera mechanism and imaging system already in place. The system is designed to move along greenhouse rows, capturing plant images at scheduled intervals to build a consistent visual dataset for analysis.
These images will be processed using edge computing technology powered by the NVIDIA Jetson Orin Nano platform. Through AI-based image analysis, the system is expected to detect early symptoms of plant diseases and identify nutrient deficiencies, enabling timely alerts and faster intervention by farmers.
While the system is still under development and testing, the project team is actively working on optimising hardware integration, improving data capture consistency, and enhancing AI model performance for more accurate predictions.
The collaboration with KMK Agro Global Sdn. Bhd. provides a valuable real-world testbed, allowing continuous refinement of the system based on actual farm conditions. In addition, the project supports knowledge transfer activities, equipping farmers with exposure to emerging smart farming technologies.
Once fully completed, the system is expected to improve operational efficiency, reduce manual monitoring efforts, and enhance crop productivity, particularly for high-value crops such as rock melon.
This initiative reflects UTM’s commitment, through ICC funding, to advancing applied research and bridging the gap between academic innovation and industry implementation in smart agriculture.
